Analyze large datasets to produce dashboards, metrics, and insights supporting product, care, and business decisions. Build BI infrastructure, run A/B and multivariate tests, perform ad-hoc analyses and visualizations, and collaborate with stakeholders and data scientists to inform strategy and operations.
## About the company
Through the latest techniques in AI and a sprinkle of magic, WOMBO powers the next generation synthetic media to make people laugh and smile.
WOMBO has two products, Dream and WOMBO.
- Dream lets users create beautiful artwork using the power of AI. Enter a prompt, pick an art style and watch Dream turn your idea into an AI-powered painting in seconds. Dream has ranked #1 in the Graphics and Design category in 50+ countries and has been covered by The Verge and TechCrunch.
- WOMBO is an AI-powered lip sync app.Take a selfie, pick a song, and let WOMBO work its magic.
## About the role
We are seeking an experienced Data Analyst to join the team at WOMBO.ai. As a Data Analyst, you will work closely with cross-functional stakeholders to understand and support their reporting and analytics needs.
This role will actively glean actionable insights from massive amounts of data for the purpose of driving strategic and operational decisions. You will work closely with Data Scientists to identify strategic questions and solutions. You will also participate in knowledge sharing and collaboration.
This role will work closely with our teams to deeply understand trends and surface insights to support strategy and operational excellence across Wombo.ai’s care channels.
## What you'll do
- Develop metrics and dashboards to help leadership and teams make data-driven decisions
- Collaborate with the leadership and teams and leverage data to inform, develop, and iterate on strategic business initiatives
- Design, build and maintain BI infrastructure to improve
- Complete analysis projects with business stakeholders to monitor the health of the business and help make data-driven, strategic, and operational decisions
- Develop strong working relationships with team members across departments, gathering requirements and understanding their key metrics and drivers
- Build and own business intelligence dashboards, visualizations, and granular datasets that provide actionable insights to team members across all departments
- Develop a deep understanding of user behavior patterns and insights, and correlate engagement metrics with conversion rates, customer lifetime value, and financial performance
- Provide analytics to support product launch initiatives with A/B and multivariate testing
- Ad-hoc data analysis, deep dives, data visualizations, statistical modeling, analytical reports, and other presentations to aid senior management in decision making
## What we're seeking
### Must have
- At least 1 year of experience
- Have experience with SQL, Python, and Excel
- You'll need to be able to work from Toronto, Canada
### Nice to have
- Familiarity with data visualization tools such as Tableau or Mode
- AWS Athena or Google BigQuery experience
- Financial modeling experience
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With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
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